JPMorgan Chase Recruitment 2024 for Data Analytics – Analyst

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JPMorgan Chase Recruitment 2024 for its Data Analystics – Analyst, JP Morgan Chase Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors in Engineering and MBA. If you are interested, Please apply as soon as possible.

Company Name: JPMorgan Chase

Role: Data Analytics – Analyst

Location: Bangalore

Experience: Freshers

Qualification: Bachelors in engineering and MBA

Batch: Any Batch

Job Type: Full Time

Salary: Best in Industry

JPMorgan Chase Recruitment 2024

Job Description:

Build your career in Data Analytics while working in the world’s most innovative bank which values creativity and excellence.
You are a strategic thinker passionate about driving solutions. You have found the right team.


  • Experience in premier analytics firms or teams in BFSI, E-Commerce domains or dynamic start-ups focused on providing analytical solutions to clients
  • Hands on experience with Programming languages; (e.g., R, Python, SQL), Analytical tools (e.g., Alteryx), Distributed file systems (e.g., Hadoop), Visualization tools/programming (e.g., Qlik Sense, Tableau, D3), Cloud computing platforms (e.g., Amazon Web Services)
  • Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization)
  • Exposure and experience with designing and building machine learning algorithms
  • Familiarity of applied statistical methods involving regression, clustering, time series forecasting, customer segmentation, driver and causality analysis
  • Experience in interacting with business partners, gathering requirements, scoping business problems and communicating insights.

Preferred qualifications, capabilities and skills:

  • Bachelors in engineering, Computer Science, Math, Statistics or related discipline or an MBA from a reputed institution


  • Data analytics and insight generation initiatives through hands-on data science techniques
  • Create experimental framework to facilitate data collection as needed
  • Define the comprehensive analytics approach leveraging a combination of business knowledge, statistical methodologies, data techniques and machine learning algorithms
  • Build models/data applications to produce actionable insights. Develop impactful visualizations delivering simplified insights messaging
  • Interact with business and functional stakeholders throughout the organization on analytics Initiatives and development
  • Synthesize business needs and identify optimal data solutions to address the needs
  • Deliver data insights, business value and recommend next steps to senior stakeholders

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